PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring — EPFL

EPFL · Lausanne (VD)
Categoria: Ricerca Contratto: full-time Salario: CHF 49'500 - 75'000

Role overview

IMOS The Intelligent Maintenance and Operations Systems (IMOS) Lab at EPFL is looking for a motivated and out-of-the-box thinking PhD researcher, (100%, in Lausanne, fixed-term) starting in September or upon agreement.

Project description The objective of this project is to develop novel methodologies based on physics-informed graph neural networks (PI-GNNs) to understand and model the impact of operational loads on system degradation at the compenent level in complex engineering systems, with a particular focus on wind turbines.

The research will focus on explicitly integrating physical laws, load dynamics, and degradation mechanisms into graph-based models, enabling a principled understanding of how operating conditions drive the evolution of system health over time.

Description

IMOS The Intelligent Maintenance and Operations Systems (IMOS) Lab at EPFL is looking for a motivated and out-of-the-box thinking PhD researcher, (100%, in Lausanne, fixed-term) starting in September or upon agreement.

Project description The objective of this project is to develop novel methodologies based on physics-informed graph neural networks (PI-GNNs) to understand and model the impact of operational loads on system degradation at the compenent level in complex engineering systems, with a particular focus on wind turbines.

The research will focus on explicitly integrating physical laws, load dynamics, and degradation mechanisms into graph-based models, enabling a principled understanding of how operating conditions drive the evolution of system health over time.

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EPFL · Lausanne
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Information for cross-border workers

This page reviews the PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring opportunity at EPFL in Lausanne (administration sector), with a focus on the tax implications for cross-border workers in the Canton of Vaud.

Accepting this offer from EPFL means obtaining a cross-border G Permit. The Canton of Vaud withholds tax on gross salary; new cross-border workers since 2024 fall under the New Tax Agreement with concurrent taxation.

Swiss social contributions include AVS (5.3%), unemployment insurance (1.1%) and LPP (occupational pension). Use our free tax simulator to estimate the net salary for PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring in administration and compare the cost of living between Switzerland and Italy.

Frequently asked questions

What net pay can you expect for the PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring role (administration) in Vaud?
The PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring role (administration) in Lausanne is taxed at source by the Canton of Vaud plus AVS/LPP contributions. Run the simulator with the real figures of EPFL.
LAMal or Italian insurance: which should you pick for the PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring (administration) role?
The PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring role in Lausanne requires choosing between LAMal (mandatory for new cross-border workers since 2024) and the right of option. Compare premiums with our LAMal comparator.